Yan Hu
17 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (51)
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
ποΈ
Keyword Collector
(97)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(10)
Deep Learning
(9)
Natural Language Processing
(6)
Application Areas
(5)
Architectures
(5)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Computer Vision
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Resources & Methods
(3)
Applications
(2)
Core Methods
(2)
Keywords
multimodal large language model
(3)
large language model
(3)
medical imaging
(2)
radiology report generation
(2)
word embedding
(2)
benchmark evaluation
(2)
federated learning
(2)
relative isomorphism
(2)
sim-to-real transfer
(1)
knowledge editing
(1)
adversarial robustness
(1)
machine translation
(1)
lexical semantics
(1)
dialogue generation
(1)
representation learning
(1)
efficient inference
(1)
visual question answering
(1)
machine unlearning
(1)
depth estimation
(1)
stereo vision
(1)
Papers
Federated Linear Dueling Bandits
AAAI 2026
GMFL: Efficient Global Masking for Federated LLM Fine-tuning
ACL 2026
Real2Sim2Real: RetinalDepth-64K for Depth Estimation in Posterior Segment Ophthalmic Surgery
CVPR 2026
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
CVPR 2025
Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization
EMNLP 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
EMNLP 2025
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
NAACL 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025
RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
ACL 2025
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
ICML 2025
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
NAACL 2025
Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)
EACL 2024
ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation
EMNLP 2024
GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings
EMNLP 2023
GRI: Graph-based Relative Isomorphism of Word Embedding Spaces
EMNLP 2023
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues
ACL 2022
Underwater Image Restoration Based on Convolutional Neural Network
ACML 2018